2X HIGHER THROUGHPUT WITH A LEANER SQUAD FOR A LEADING CREDIT UNION

The agentic delivery model doubled throughput in its first sprint, reduced cycle time by 74.3%, and increased flow efficiency from 44% to 81%.

INTRODUCTION

Once an efficient delivery foundation is in place, the next opportunity is increasing output without adding equivalent team capacity.

A leading credit union organization wanted to accelerate downstream delivery while improving productivity, efficiency, and cycle time.


CI&T introduced AI support across story preparation, technical refinement, development, and validation. Powered by CI&T Flow, the model shifted engineers from repetitive execution toward specification and critical validation.


The initiative doubled throughput while operating with a leaner squad,
reduced cycle time by 74.3%, and increased flow efficiency by 37 percentage points.

THE CHALLENGE: DOUBLING DELIVERY WITH LESS COST

The organization needed to accelerate downstream delivery while increasing productivity and efficiency without expanding the squad.

Downstream Bottlenecks

Technical refinement and development limited how quickly mature stories could move through implementation.

Manual Execution

Engineers spent significant time executing activities that could be automated, reducing capacity for strategic validation.

Scaling Efficiently

The organization needed higher throughput with a delivery structure capable of operating at a lower squad cost.

THE SOLUTION

CI&T connected story preparation, technical refinement, development, and validation through an agentic SDLC designed to automate execution while maintaining human oversight.

Story Readiness

AI supported story writing and maturity before development, helping teams begin implementation with clearer and more complete inputs.

Agentic Development

Specialized agents automated technical refinement and development, while engineers shifted toward specification and validation.

Quality Validation

Human validation remained part of the workflow, helping teams increase automation without compromising quality.

THE IMPACT

The new delivery model generated simultaneous gains in throughput, cycle time, efficiency, and squad economics.

HIGHER DELIVERY

2x

Throughput increased

Potential throughput reached 67 BCPs per sprint, from a 32-BCP baseline


SHORTER CYCLE

74.3%

Cycle time reduced

Delivery decreased from 33 to 9 days


GREATER EFFICIENCY

32%

Squad cost reduced

Flow efficiency rose from 44% to 81%

TECHNOLOGIES USED

CI&T FLOW

CI&T Flow supported intelligent agents across upstream and downstream workflows, helping teams automate delivery activities and increase throughput with a leaner structure.

AGENTIC SDLC

An AI-assisted delivery model connected refinement, development, and validation while shifting engineers toward orchestration and critical review.

DEV AGENTS

Specialized development agents automated technical refinement and implementation activities while maintaining human validation at key stages.